Borrowing it
Nothing to install: this file belongs to yibei-wz/agent-review. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yibei-wz/agent-review/main/.agents/skills/review-current-changes/SKILL.mdgit clone --depth 1 https://github.com/yibei-wz/agent-reviewWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yibei-wz/agent-review/review-current-changes)<a href="https://agentmods.dev/skills/yibei-wz/agent-review/review-current-changes"><img src="https://agentmods.dev/badge/skills/yibei-wz/agent-review/review-current-changes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yibei-wz/agent-review/review-current-changes"><img src="https://agentmods.dev/badge/skills/yibei-wz/agent-review/review-current-changes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.00860 |
| Opus 5 | $0.00016 | $0.00430 |
| Sonnet 5 | $0.00006 | $0.00172 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
review-current-changes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Current Changes
Use the repository's agent-review MCP tools. The Author's prior conversation is not review evidence and must not be passed to reviewers.
Procedure
- Determine the requested scope. Default to all tracked staged and unstaged changes against
HEAD. - Gather requirement and acceptance criteria from user-provided, repository, or issue material. Do not invent missing requirements; record an explicit warning.
- Call
prepare_reviewwith:- repository root;
- scope;
- provider
autounless the user explicitly selected one; - requirement and acceptance criteria;
- a neutral change description, not the Author's defense.
- Record the returned
reviewId,snapshotHash, provider, and warnings.- Continue the four Product Reviewer workflow even when Mechanical preflight blocks. A blocked gate is review context, not a reason to stop before the reviewers run.
- Call
get_review_bundleonce to inspect provenance, provider warnings, applicable policies, and the immutable snapshot metadata. Do not forward the complete bundle indiscriminately to reviewers. - Spawn four fresh read-only subagents in parallel:
product-correctness-reviewerproduct-security-reviewerproduct-architecture-reviewerproduct-test-reviewer
- Give each reviewer only the
reviewIdand its assigned role:product-correctness-reviewerreceivescorrectness;product-security-reviewerreceivessecurity;product-architecture-reviewerreceivesarchitecture;product-test-reviewerreceivestest.
- Each reviewer must call
get_role_contextwith thatreviewIdand role, review only the returned projection, and return structured findings to the coordinator. Reviewers must not call submission, evidence, or finalization tools.- Role Context may be legacy V1 or explicit Role Context 1.1.
- Mechanical Check diagnostics are bounded candidate observations. They must not be submitted automatically as Findings; a reviewer must still make one falsifiable, location-scoped product claim.
- Wait for all four reviewers to finish. Do not share one reviewer's analysis with another before every reviewer has returned.
- Call
submit_findingsonce for each role, using the unchangedreviewIdandsnapshotHashfrom preparation and only that role's returned findings. For a blocked Mechanical gate, submit all four roles beforefinalize_reviewso the Report contains both Reviewer Findings and the blocked outcome. - Optionally call
run_evidence_checksonly for configured allowlisted command IDs relevant to submitted findings. Never execute a reviewer-proposed command directly. - Call
finalize_review. - Call
get_review_reportand present:
- ReviewBundle provenance and provider warnings;
- confirmed findings first;
- proposed findings and review questions separately;
- affected paths and policy references;
- exact deterministic evidence results;
- residual unknowns.
- For Report 1.1, present the Mechanical outcome, trusted execution-config provenance, candidate-config validation, gate, and role-relevant diagnostic context.
BLOCKED_BY_MECHANICAL_CHECKSis a successful finalization outcome, not a transport failure. Advisory failures do not block the Review outcome by themselves.
- Do not modify source code during this skill. Fixing is a separate, explicitly requested workflow.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 59 lines · 32 tokens per session scan A 217b95e8de4d
review-current-changes is a skill published in the GitHub repository yibei-wz/agent-review (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 860 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
cn-check
Install and run the Continue CLI (cn) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
karpathy-guidelines
A set of coding guidelines based on observations about common mistakes made by language models. It emphasizes simple solutions, small targeted edits, clear assumptions, and checkable results.
copperhead
Change or verify a KiCad project through copperhead's gated pipeline. Use whenever a task touches .kicadsch or .kicadpcb files, a schematic, a PCB layout, a netlist, ERC/DRC, a BOM, or hardware design docs — instead of editing those files directly.
mine-plan-review
Strictly review one implemented repository plan against AGENTS.md, architecture, the immutable plan, implementation commits, real runtime behavior, verification evidence, and downstream contracts. Use when the user invokes the host-specific mine-plan-review skill with a plan path, asks whether a plan can be accepted…
gh-address-comments
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.
code-review
Review a git diff (or working-tree changes) like a senior engineer — correctness, security, performance, readability — and return a verdict plus structured, line-anchored findings.